Oguz
Oguz
 
Mulayim
Mulayim

Contract Researcher
Contract Researcher


Oguz
Oguz
 
Mulayim
Mulayim
Contract Researcher
Contract Researcher

Learning Systems
Learning Systems
(+34) 93 580 9570 ext.
206
206
oguz@iiia.csic.es
oguz@iiia.csic.es
Research areas:
  • Citizen Science
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Case-Based Reasoning
  • Citizen Science
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Case-Based Reasoning
Impact areas:
  • Healthcare
  • Healthcare
SDGs:
  • GOAL 06: Clean Water and Sanitation
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 03: Good Health and Well-being
  • GOAL 06: Clean Water and Sanitation
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 03: Good Health and Well-being
2021
Jesus Cerquides,  Oguz Mulayim,  Jerónimo Hernández-González,  Amudha Ravi Shankar,  & Jose Luis Fernandez-Marquez (2021). A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data. Mathematics, 9. https://doi.org/10.3390/math9080875. [BibTeX]  [PDF]
2020
Oguz Mulayim,  & Josep Lluis Arcos (2020). Fast anytime retrieval with confidence in large-scale temporal case bases. Knowledge-Based Systems, 206, 106374. https://doi.org/10.1016/j.knosys.2020.106374. [BibTeX]
2019
David Sanchez-Pinsach,  Oguz Mulayim,  Jennifer Grau-Sánchez,  Emma Segura,  Berta Juan-Corbella,  Josep Lluis Arcos,  Jesus Cerquides,  Monique Messaggi-Sartor,  Esther Duarte,  & Antoni Rodriguez-Fornells (2019). Design of an AI Platform to Support Home-Based Self-Training Music Interventions for Chronic Stroke Patients. Jordi Sabater-Mir, Vicenç Torra, Isabel Aguilo, & Manuel González-Hidalgo (Eds.), Frontiers in Artificial Intelligence and Applications (pp 170--175). IOS Press. https://doi.org/10.3233/FAIA190120. [BibTeX]
2018
Oguz Mulayim,  & Josep Lluis Arcos (2018). Perks of Being Lazy: Boosting Retrieval Performance. Twenty-Sixth International Conference on Case-Based Reasoning . https://doi.org/10.1007/978-3-030-01081-2_21. [BibTeX]
2011
Josep Lluis Arcos,  Oguz Mulayim,  & David Leake (2011). Using introspective reasoning to improve CBR system performance. M. T. Cox, & A. Raja (Eds.), Metareasoning: Thinking about Thinking (pp 167-182). MIT Press. https://doi.org/10.7551/mitpress/9780262014809.003.0011. [BibTeX]
2010
Oguz Mulayim,  & Josep Lluis Arcos (2010). Predicting Dubiosity in CBR Systems. Expert UPDATE, 10, 1-8. https://doi.org/http://www.expertupdate.org/papers/10-2/1.pdf. [BibTeX]  [PDF]
2008
Oguz Mulayim,  & Josep Lluis Arcos (2008). Understanding Dubious Future Problems. D Althoff, R Bergmann, M Minor, & A Hanft (Eds.), Advances in Case-Based Reasoning: 9th European Conference, ECCBR 2008. Lecture Notes in Artificial Intelligence (pp. 385-399). Springer Verlag. https://doi.org/10.1007/978-3-540-85502-6_26. [BibTeX]  [PDF]
Josep Lluis Arcos,  Oguz Mulayim,  & David Leake (2008). Using Introspective Reasoning to Improve CBR System Performance. Michael T. Cox, & Anita Raja (Eds.), AAAI Metareasoning Workshop (pp. 21-28). AAAI Press. [BibTeX]  [PDF]
2007
Oguz Mulayim,  & Josep Lluis Arcos (2007). Exploring Dubious Future Problems. Miltos Petridis (Eds.), Twelfth UK Workshop on Case-Based Reasoning (pp. 52-63). CMS Press, University of Greenwich. [BibTeX]  [PDF]